Evolutionary algorithm for package delivery service
Recent years have shown worldwide increasing online shopping activities. Consumers who purchased products online opts for package delivery. This implies an increasing demand for logistic businesses such as warehousing and delivery of goods. Businesses may deliver package to customers via Private Fle...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
2018
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/73970 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | Recent years have shown worldwide increasing online shopping activities. Consumers who purchased products online opts for package delivery. This implies an increasing demand for logistic businesses such as warehousing and delivery of goods. Businesses may deliver package to customers via Private Fleet such as trucks and vans, or via common carrier such as Singpost’s speedpost service. This introduces the problem of Vehicle Routing Problem with Private fleet and common Carrier (VRPPC). Determining the optimal route for delivery is vital as the delivery route directly affects the business cost. An optimal delivery route would ensure that all packages are delivered to customers within the customers’ time constraint, and at the minimum cost. There exists many studies done on Vehicle Routing. In this report, the author presents a hybrid genetic algorithm, an evolutionary algorithm, as a viable solution for the VRPPC. The performance of the GA is evaluated using test data from benchmark dataset and from actual Singapore road map. |
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